Machine Learning-Based Prediction of Axial Load Bearing Capacity for CFRST Columns
Tuo Lei,
Jianxiang Xu,
Shuangfei Liang
et al.
Abstract:As a primary load-bearing component, accurately predicting the bearing capacity of concrete-filled rectangular steel tube (CFRST) members is an essential prerequisite for ensuring structural safety. Machine learning methods are employed to model and predict the axial load bearing capacity of CFRST columns. A test database containing 1119 members is established, and the input parameters of the machine learning model are determined using a combination of data preprocessing and correlation analysis. Four machine … Show more
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